1: Basic Principles and Methodologies. - 1 Introduction to Fuzzy Systems Neural Networks and Genetic Algorithms. - 2 A Fuzzy Neural Network for Approximate Fuzzy Reasoning. - 3 Novel Neural Algorithms for Solving Fuzzy Relation Equations. - 4 Methods for Simplification of Fuzzy Models. - 5 A New Approach of Neurofuzzy Learning Algorithm. - 2: Data Analysis and Information Systems. - 6 Neural Networks in Intelligent Data Analysis. - 7 Data-Driven Identification of Key Variables. - 8 Applications of Intelligent Techniques in Process Analysis. - 9 Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systems. - 10 A Sequential Training Strategy for Locally Recurrent Neural Networks. - 3: Nonlinear Systems and System Identification. - 11 Adaptive Genetic Programming for System Identification. - 12 Nonlinear System Identification with Neurofuzzy Methods. - 13 A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Control. - 14 Soft Computing Based Signal Prediction Restoration and Filtering. Language: English